Triple

T2542834
Position Surface form Disambiguated ID Type / Status
Subject John Hampden E57822 entity
Predicate child P120 FINISHED
Object Ruth Hampden
Ruth Hampden was a member of the prominent Hampden family of 17th-century England, known primarily as a daughter of the influential parliamentarian John Hampden.
 E353693 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ruth Hampden | Statement: [John Hampden, child, Ruth Hampden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ruth Hampden
Context triple: [John Hampden, child, Ruth Hampden]
  • A. Aileen Britton
    Aileen Britton was an Australian actress known for her work in film, television, and theatre during the mid-20th century.
  • B. Helen Gibbins
    Helen Gibbins is the longtime wife of British comedian, actor, and writer Michael Palin, known for their enduring marriage that began before his Monty Python fame.
  • C. Marjorie Elizabeth Lloyd
    Marjorie Elizabeth Lloyd is the daughter of famed silent film comedian and actor Harold Lloyd.
  • D. Frances Rudge
    Frances Rudge was the wife of influential American film and theatre director Elia Kazan.
  • E. Helen Morris
    Helen Morris is an American book editor and the longtime wife of acclaimed film director Martin Scorsese.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ruth Hampden
Triple: [John Hampden, child, Ruth Hampden]
Generated description
Ruth Hampden was a member of the prominent Hampden family of 17th-century England, known primarily as a daughter of the influential parliamentarian John Hampden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ruth Hampden
Target entity description: Ruth Hampden was a member of the prominent Hampden family of 17th-century England, known primarily as a daughter of the influential parliamentarian John Hampden.
  • A. Aileen Britton
    Aileen Britton was an Australian actress known for her work in film, television, and theatre during the mid-20th century.
  • B. Helen Gibbins
    Helen Gibbins is the longtime wife of British comedian, actor, and writer Michael Palin, known for their enduring marriage that began before his Monty Python fame.
  • C. Marjorie Elizabeth Lloyd
    Marjorie Elizabeth Lloyd is the daughter of famed silent film comedian and actor Harold Lloyd.
  • D. Frances Rudge
    Frances Rudge was the wife of influential American film and theatre director Elia Kazan.
  • E. Helen Morris
    Helen Morris is an American book editor and the longtime wife of acclaimed film director Martin Scorsese.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2bf6cac819083a9ab9d041d8641 completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b333f7b3848190bcef4a06a2b94dd1 completed March 12, 2026, 9:45 p.m.
NEDg Description generation batch_69b334d1e3348190b231a33058ee08a5 completed March 12, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_69b33901299481908615762989e45e7c completed March 12, 2026, 10:06 p.m.
Created at: March 6, 2026, 9:47 p.m.